Download skills/delegate-setup/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does delegate-setup live?
The publisher keeps it at https://github.com/amElnagdy/delegate-skills.
Which agents can use delegate-setup?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.
>-
name: delegate-setup
description: >-
Configure delegation fleet lanes: which implementer CLI handles which kind of work,
with optional model and effort (or variant) dials. Discovers installed CLIs, proposes
a lane map for user approval, and writes global or project config only after explicit
yes. Use when the user asks to set up, configure, or reconfigure delegation lanes,
a fleet of lanes, or which implementer handles feature/tests/ui work — not for
dispatching a coding task to an implementer.
license: MIT
compatibility: Requires Node 18+. No implementer CLIs are required — the skill discovers what is available.
metadata:
version: 0.5.0
Delegate Setup
You are the orchestrator in setup mode. Discover installed implementer CLIs, propose a
fleet of lanes, and write configuration only after the user approves.
This skill does not dispatch coding work. It only authors the lane map.
One concept: lanes. Never say “routes.”
Example lane: feature → implementer opencode, model opencode/grok, variant high
(OpenCode uses variant for reasoning intensity, not effort).
When NOT to use this
The user wants a task implemented — use the matching *-delegate skill instead.
A one-off model change on a single dispatch — pass --model / --effort / --variant on that relay.
Hard rules
Every lane must include implementer.
Put dials on the same object (model, effort or variant, …) only if that implementer supports them — see references/schema.md.
Show a human-readable lane table and the full JSON before every write; re-show after every tweak.
Write only after an explicit approval (“yes”, “approve”, “write it”).
Ask scope unless already clear: global (all projects) vs this repo only. Never create a project file just because cwd is a git repo. If there is no git repo, default to global and say so.
Do not invent model identifiers.
In interview or usage-scan mode, never write any dial the user did not give you and the schema does not require — omit it, so the CLI’s or relay’s own default applies.
Prefer 3–5 useful lanes over a kitchen-sink map.
Never edit AGENTS.md, CLAUDE.md, or other user agent-instruction files.
Never run a *-delegate relay from this skill.
(<skill-dir> is this skill’s install directory — the folder that contains this SKILL.md.)
Summarize installed vs missing, auth (true / false / null = unknown), and whether models were
reported, aliases (curated aliases in the registry, not live discovery — full model names also
work), unsupported, or failed.
Otherwise → table of effective lanes with a Source column (global / project). Do not paste
both raw files unless asked.
If projectPresent is true and projectTrusted is false, label the project lanes untrusted.
They cannot dispatch until the user reviews and approves a project write.
3. Propose
Discovery reports capability, never task fit. So ask one grounding question before proposing
anything — one question, three options, not a wizard:
How should I pick the lanes? (1) Quick defaults — I decide, no questions.
(2) Interview — about four questions on how you want work allocated.
(3) Usage scan — I re-read your CLIs’ local session folders (counts and dates only, never the
conversations) and let the numbers place your lanes — if one CLI dominates, expect one question
about its role. Happy to do 2 and 3 together.
Quick defaults → propose immediately.
Interview → the four questions (allocation policy, never model rankings) and how to ask them
(one medium per round) live in references/setup-dialogue.md — read
it before you ask.
Usage scan → node "<skill-dir>/scripts/discover.mjs" --usage. Tell the user it is metadata
only before running it. Each discovered CLI gains usage: { sessions, lastUsed }; null means no
probe is wired — unknown, not unused.
Both → run the scan first, then ask only what the numbers cannot answer.
Inside a git repo, repo signals (languages, test weight, frontend share) are a fourth source of
evidence. They do not change the menu; they feed the proposal and the repo basis.
That menu is also the consent surface — the option chosen sets how much of the map is yours to
decide:
Quick defaults — the user hired your opinion. A full map is legitimate, dials included; label
every lane my opinion, say plainly that the map is your opinion, and keep it cheap to revise.
Interview / usage scan — evidence modes, so every dial is gated (rule 7): set one only from
the user’s answer, or where the schema requires it (opencode lanes require model). Omitting is
always safe — every dial has a default the user already lives with, and a CLI’s configured default
is their standing choice, better evidence than your priors. Choosing which installed implementer
gets a lane is still yours — Basis my opinion — but a dial that raises spend is not: offer your
dial picks only as an addendum after the proposal, see
references/setup-dialogue.md.
An unanswered question shrinks the map; it never licenses a substitution. Propose fewer, more
conservative lanes, name the axis you are blind on (no quota answer → say the map is quota-blind),
and invite the answer anytime. Re-ask once at most; never backfill silence with priors.
Delegation economics. The orchestrator reviews and lands every result — the review is the
quality gate, so optimize total cost, not implementer prestige:
Prefer capable, authenticated, burnable, low-usage CLIs for bounded, objectively gated work
(tests, mechanical refactors, straightforward fixes) when their reliability keeps review and
rework economical — lanes push token burn away from the subscriptions the user is protecting.
Low usage alone does not establish burnable: discovery cannot see plans, limits, or per-run
cost, and a rarely-used CLI may be metered or deliberately avoided. Burnable comes from the
user's quota answer — or, in quick defaults, from your labeled opinion.
Avoid binding a lane to a CLI the user is protecting or orchestrates from, by default; bind it
only when the user asks for it or no acceptable alternative exists. Lanes are
orchestrator-blind: the same lane fires from every seat the user drives from, and from that
CLI's own seat it dispatches the CLI to itself.
Surplus placement breaks down when rework and review cost exceed the savings; when the
implementer is flaky; when correctness rides on security, concurrency, migrations, or unstated
domain knowledge; and when the output is the product (debate, architecture, research) —
review limits damage, it does not manufacture a good first attempt. Bind those lanes to stronger
implementers.
An explicit "spare X" answer removes X from proposed lanes by default, and overrides blanket
posture answers on any lane the user explicitly retains for X — ask whether the posture applies
there; omit the dial if unanswered. Never silently stretch one answer across an axis it
conflicts with.
Then propose the lanes. Name them after the work the user described; fall back to feature, tests,
ui, fast, complex. Installed implementers only.
Show:
Lane
Implementer
Model
Effort / variant
Basis
Source (if updating)
feature
opencode
opencode/grok
variant: high
your answer + schema requirement
—
tests
codex
—
—
usage data
—
ui
claude
—
—
my opinion (implementer)
—
Basis is mandatory on every lane: your answer / usage data / repo / my opinion /
schema requirement (a dial the schema forces is neither evidence nor opinion — say so). A lane you
picked from model-quality priors is my opinion — never present it as something the tooling
determined, and “installed and authenticated” is capability, not evidence of fit. When a lane’s
implementer and its dials come from different places, split the label — see
references/setup-dialogue.md.
Then the complete JSON (version: delegate-fleet.v1). One line of why per lane; flag auth or
model uncertainty.
User said global / all projects / outside the project → global.
No git repo → global (say so).
Else ask once: global vs this repo only.
5. Approve and write
On explicit yes, write only the chosen scope (validate first). Build the payload from that
scope’s raw file (or an empty lanes object if new) — not from the effective merged load view,
or a project write will shadow global-only lanes and a global write will promote project-only ones.
Create a uniquely named file under the platform temporary directory ($TMPDIR, %TEMP%, or Node
os.tmpdir(); never hard-code /tmp, which breaks on native Windows), write the exact approved
JSON into it with the orchestrator's file-writing tool, and use that populated path as
<lanes-json> below. Never validate an empty temp file. Remove the temp file after the
validation/write attempt, whether it succeeds or fails.
Re-read with load, then confirm the path written and the active lane names. Project writes bind
approval to the exact config content; later changes fail closed until re-approved. On update, a short
before/after is enough.
6. Ready to delegate
Stop after confirming. Tell the user the map is ready. For later work: read the lane’s
implementer, load that *-delegate skill, and dispatch with --lane <name> (explicit
--model / --effort / --variant still win when passed). Do not start a delegate task
unless they ask.
Reconfigure
Same flow. Show the effective current map, propose changes, approve, write one scope’s file.
Reinstalling the skills package must not rewrite these files — they live outside the package.
How do I install delegate-setup?
Download skills/delegate-setup/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does delegate-setup live?
The publisher keeps it at https://github.com/amElnagdy/delegate-skills.
Which agents can use delegate-setup?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.